Title :
The study of BP neural network decoupling control in sulfur dioxide converter
Author :
Hao, Lijun ; Wang, Zhihong ; Xue, Zengtao ; Wang, Shaohua
Author_Institution :
Coll. of Electr. & Inf., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Abstract :
Analyzed the coupling relations among each variable in the operating processes of the sulfur dioxide converter. Based on traditional PID controls we have suggested a new control algorithm of BP neural network for the temperature of decoupling control according to dynamic characteristics of multivariate, nonlinear and strong coupling system, then, an intelligent controller with decoupling ability is made up. The simulation results show that this algorithm has good control effect.
Keywords :
backpropagation; chemical engineering; multivariable control systems; neurocontrollers; nonlinear control systems; three-term control; BP neural network decoupling control; PID controls; intelligent controller; multivariate coupling system; nonlinear coupling system; strong coupling system; sulfur dioxide converter; Absorption; Automation; Control systems; Mechatronics; Neural networks; Nonlinear control systems; Pipelines; Poles and towers; Temperature control; Three-term control; BP neural network; decoupling control; multivariate system; sulfur dioxide converter;
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
DOI :
10.1109/ICMA.2009.5246107
